Senior Backend Engineer - Go/Python, Production Systems

ExTrac

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

5 days ago
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Benefits offered by this job

Private medical insurance
Enhanced pension
Parental leave
Nursery scheme
£500 education budget
33 days leave

Job summary

ExTrac, a decision intelligence company, is seeking a Senior Software Engineer to build and operate backend microservices, APIs, and data pipelines at scale. You will work across Go and Python services, databases, and cloud infrastructure, collaborating with AI, frontend, analysts, and product teams to deliver robust, high-throughput systems.

You will own end-to-end features, drive architecture decisions, and focus on latency, cost, and reliability while improving deployment pipelines and

Qualifications

  • 4+ years of professional software engineering experience.
  • Proficiency in building microservices using Go or Python.
  • Solid understanding of distributed systems, databases, and software engineering patterns.
  • Experience with cloud infrastructure and infrastructure as code, and with the CI/CD pipelines around them.
  • Strong communication and collaboration skills.

Responsibilities

  • Take an ambiguous problem, gather requirements, write a technical design, and ship to production with minimal oversight.
  • Own services end to end, including consolidating or decommissioning what they replace.
  • Contribute to and lead system design and architecture decisions.
  • Design APIs used by internal teams and customers, with clear contracts and versioning.

Skills

Go
Python
Distributed systems

Tools

Elasticsearch
PostgreSQL
CI/CD pipelines

Job description

ExTrac, a decision intelligence company, is seeking a Senior Software Engineer to build and operate backend microservices, APIs, and data pipelines at scale. You will work across Go and Python services, databases, and cloud infrastructure, collaborating with AI, frontend, analysts, and product teams to deliver robust, high-throughput systems.

You will own end-to-end features, drive architecture decisions, and focus on latency, cost, and reliability while improving deployment pipelines and

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